stock_analysis

Analyzes A-share, Hong Kong, and US stocks to generate decision dashboards, dividend scores, rumor scans, and watchlist alerts.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/tmtgroupbot/lptracker-deploy --skill stock-analysis-tmtgroupbot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stock_analysis
Source: https://github.com/tmtgroupbot/lptracker-deploy/tree/main/skills/stock-analysis-skill
Command: npx skills add https://github.com/tmtgroupbot/lptracker-deploy --skill stock-analysis-tmtgroupbot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk.

What problem does it solve? Investors tracking stocks across A-share, Hong Kong, and US markets must manually gather quotes, technical indicators, fundamentals, dividend data, and market rumors from scattered sources, then synthesize buy/sell/hold decisions on their own. This Skill consolidates that workflow into structured decision dashboards and research reports. ## Core Features & Use Cases - Decision Dashboards: Generates per-stock dashboards with technical, fundamental, and capital-flow analysis, plus concrete entry points, stop-loss levels, and position sizing, with position-aware advice when you provide your holding cost. - Dividend & Rumor Analysis: Scores dividend safety (0-100) using payout ratio, 5-year CAGR, and consecutive growth years, and scans daily market signals such as M&A rumors, insider activity, and analyst rating changes with impact scores. - Watchlist & Chart Recognition: Manages a persistent watchlist with target-price, stop-loss, and signal-change alerts, and analyzes uploaded K-line chart images via VLM. - Use Case: Ask whether to buy 600519 with your cost basis of 1450, and receive a full dashboard including profit/loss analysis, sniper entry points, and risk controls, exportable as Markdown, PDF, or Word. ## Quick Start Ask the assistant to analyze whether AAPL is worth buying right now and include a dividend analysis. Disclaimer: Output is for reference only and does not constitute investment advice.

Frequently Asked Questions about stock_analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a stock and get a buy or sell recommendation?

Provide a ticker code such as 600519, 00700.HK, or AAPL and ask whether it is worth buying. The skill fetches quotes, technical indicators, and fundamentals, then outputs a decision dashboard with a verdict of strong buy, buy, hold, or sell, plus entry points and stop-loss levels.

How does stock analysis work with my holding cost price?

Pass your position with cost price and share count along with the ticker. The analysis then includes profit/loss calculation against the current price and tailored advice for holders, while users without a position receive separate entry recommendations.

Which stock markets does this skill support?

It supports A-share stocks identified by 6-digit codes, Hong Kong stocks in the 4-5 digit .HK format, and US stocks by ticker symbol. It does not support futures, ETFs, or convertible bonds, and Hong Kong fundamental data coverage is limited.

How is the dividend safety score calculated?

The score starts at 50 and adjusts based on payout ratio, 5-year dividend CAGR, consecutive growth years, and yield risk, capped between 0 and 100. Stocks growing dividends for 25 or more years are flagged as dividend aristocrats, and yields above 8 percent trigger a sustainability warning.

Can I get alerts when a stock hits my target or stop-loss price?

Yes, add tickers to the watchlist with target and stop prices, then run the alert check to see triggered notifications. The watchlist persists via the platform storage API and also supports signal-change alerts when the analysis verdict shifts between checks.

Why does the analysis sometimes show missing data fields?

The skill marks unavailable fields as temporarily missing rather than fabricating values, since all market data comes through the finance skill's news and quote retrieval. Data quality depends on that upstream source, and reports display explicit warnings when key fields are absent.